Hedge fund AI investing role, company not confirmed
Реальное техническое собеседование16 апреля 2026
Hedge Fund System Design: backend pipeline for AI investing
Backend/system-design собеседование for an AI-investing hedge fund role. The public notes mention a high-level pipeline with Kafka, Spark, databases and discussion of the overall data/инференс architecture.
1 вопрос2 кейса
Аудио и материалы
Выводы и как готовиться
- For investing systems, the answer should separate offline research pipelines from online inference or signal-serving paths.
- Kafka/Spark/database choices need to be tied to latency, replayability, data quality and audit requirements.
- A credible system-design answer should explicitly call out backtesting leakage, reproducibility and monitoring for data drift.